Manager, Talent Science at Canonical – Apply Now

In this role you will:

• Lead a team of data driven behavioural experts, responsible for ensuring that our leadership teams are selecting game changing talent for our organisation.
• Drive deep analytics that impact the decisions we make when assessing talent in the Tech industry.
• Build key relationships with global Hiring Leadership stakeholders to drive our hiring agenda.
• Be seen as a thought leader on talent initiatives with an inherent belief that past performance predicts future success.
• Conduct in-depth behavioral talent interviews providing considerable insights into motivations and behaviours of talent.
• Review our assessment effectiveness to drive continuous improvement.
• Ensure our Employer branding and DEI initiatives support and drive an inclusive environment for our people.

What we are looking for in you

• An undergraduate or postgraduate degree in psychology/industrial psychology, or a compelling narrative about your alternative chosen path, together with an exceptional academic track record throughout your education years.
• Strong analytical mindset with solid evidence of using data to answer problems/questions to drive change (ability to use SQL/Python/R a plus, but not essential).
• Management experience overseeing data driven experts in the talent field including managing projects that drive efficiency and deliver results, ideally from in the Technology space.
• A thought leader in the talent space with the ability to influence best practice, bringing a solid point of how to build a high performance organisation.
• Experience of running and providing stakeholder training talent topics such as competency based interviews and sourcing.
• Experience of interpreting psychometric assessments with a deep belief that motivations and behaviours are as important as technical domain skills.
• Proven ability of working with senior stakeholders to drive a professional outlook on hiring talent as well as challenge the status quo.
• Passionate about employer branding, candidate experience, DEI.
• Experience of successful configuration of hiring tools that enable the selection process.
• Willingness to travel up to 4 times a year for internal events.

Other Skills You May Bring

• Experience in statistical significance testing and experience in Bayesian inference and/or predictive analytics and ML.
• Experience on building data dashboards.
• Exposure to the following tools: Jira, LinkedIn Talent Insights, Greenhouse, DISC profiling.